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Prediction Liquidated Damages via Ensemble Machine Learning Model: Towards Sustainable Highway Construction Projects
15 references·1 citing·49 second hop
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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 2007Managing public–private megaprojects: Paradoxes, complexity, and project design519 cited
  • 2021Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression419 cited
  • 2005Programmatic Cost Risk Analysis for Highway Megaprojects194 cited
  • 2017Construction Project Complexity: Research Trends and Implications181 cited
  • 2022Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction173 cited
  • 2017Revisiting Quality Failure Costs in Construction143 cited
  • 2010Optimizing Material Procurement and Storage on Construction Sites104 cited
  • 2022Selection of heavy machinery for earthwork activities: A multi-objective optimization approach using a genetic algorithm82 cited
  • 2018Optimizing Financing Cost in Construction Projects with Fixed Project Duration63 cited
  • 2021Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: a management decision support model51 cited
  • 2018Contract Administration Guidelines for Public Infrastructure Projects in the United States and Saudi Arabia: Comparative Analysis Approach49 cited
  • 2021Risk Assessment Model for Optimal Gain–Pain Share Ratio in Target Cost Contract for Construction Projects

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46 cited
  • 2020Performance Indicators for the Claim Management of General Contractors45 cited
  • 1995Enforcement of Liquidated Damages24 cited
  • Cited by

    • 2023A comparative study of machine learning regression models for predicting construction duration40 cited